Cross-Media Meta-Search by Query Relaxation
Akihiro Kuwabara, Katsumi Tanaka · 2004
Recently, the huge of contents are scattered in several sites and the contents have varied media types in Web space. When users retrieve valid information, it is important to choice more efficient information from many contents, and integrate and arrange various information. We have proposed Cross-Media Meta-Search, which uses search engines for various media, such as text search engines and picture search engines, to solve this problem and query relaxation to realize this system. However, when users input more keywords in the system, efficiency is getting worse. In this paper, we propose an expansion of query relaxation and an efficient method of query relaxation.